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reasoning about them remains surprisingly difficult. Our research addresses this challenge in the following domains: Designing expressive languages for specifying network behavior Developing verification
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in Electrical Engineering. Please check https://www.epfl.ch/education/phd/ for additional information. Please note that this is a separate application process. Main duties and responsibilities As a
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powers this new hybrid network. Your code will directly enable the next generation of energy-efficient AI clusters. Project scope You will bridge the gap between custom optical hardware and standard AI
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international universities. CANDIDATE PROFILE We are looking for a PhD candidate with a strong analytical background and an outstanding MSc degree in Computer Science, Robotics, Chemical/Process
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specifications, proofs, and verified artefacts Engage with the ARIA programme, including red/blue team exercises and sprint reviews Profile PhD (or nearing completion of) in computer science or a closely related